Linking plant strategies (CSR) and remotely sensed plant traits

Teja Kattenborn, Javier Lopatin, Fabian Fassnacht, Sebastian Schmidtlein

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The widely established CSR-model quantitatively groups plants according to their ecological response, i.e. competitiveness, stress-toleration and ruderality. These plant strategies are allocated using plant traits. We assess the potential of canopy traits derived by imaging spectroscopy and inverted radiative transfer models for allocating CSR-scores. Our findings indicate that plant traits (LAI, Cab, Car and SLA) are valuable 'soft traits' to map plant strategies.

Idioma originalInglés
Título de la publicación alojada2016 8th Workshop on Hyperspectral Image and Signal Processing
Subtítulo de la publicación alojadaEvolution in Remote Sensing, WHISPERS 2016
EditorialIEEE Computer Society
ISBN (versión digital)9781509006083
DOI
EstadoPublicada - 28 jun. 2016
Evento8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2016 - Los Angeles, Estados Unidos
Duración: 21 ago. 201624 ago. 2016

Serie de la publicación

NombreWorkshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Volumen0
ISSN (versión impresa)2158-6276

Conferencia

Conferencia8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2016
País/TerritorioEstados Unidos
CiudadLos Angeles
Período21/08/1624/08/16

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